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Android Leftovers

3-D Printing and Open Hardware

  • Open Source Innovation Could Put a 3D Bioprinter in Your Living Room
    3D bioprinting traditionally requires high-level expertise, proprietary technology and a five-figure investment. A team of researchers from Carnegie Mellon University setout to change all that. In a paper published earlier this month in HardwareX, the group released the design of a fully functional 3D bioprinter it built by altering a widely available desktop 3D machine. The team’s innovation could be a game changer in terms of the overall accessibility of bioprinting.
  • 3D Printing the SynDaver Open-Source Healthcare Mannequin
    As desktop 3D printers become more robust, reliable, and feature-rich, we are seeing a definite shift in professional use-cases from prototyping to producing final products.
  • Unlock & Talk: Open Source Bootloader & Modem
    Since [Tom Nardi] introduced Hackaday readers to postmarketOS, the team has made progress on compiling a standard bootloader for MediaTek System-on-Chip (SoC) processors. Many Android phones use the MIT-licensed Little Kernel as the base of their bootloader and then apply custom closed-source modifications. [McBitter] has worked to eliminate this closed-source code by porting Little Kernel to the MT6735P used in the Coolpad Modena 2. By understanding the modifications MediaTek used for this particular SoC, the postmarketOS team hopes to use their modified, open-source Little Kernel bootloader with other MediaTek-based devices. While progress has been difficult and attempts at using emulators to probe bootloader memory have failed, [McBitter] was able to decode the DRAM configuration settings by searching for a leaked portion of the configuration strings. Now that he can set up the DRAM, there should be few barriers to running Little Kernel.

Mozilla's large repository of voice data will shape the future of machine learning

Mozilla's open source project, Common Voice, is well on its way to becoming the world’s largest repository of human voice data to be used for machine learning. Common Voice recently made its way into Black Duck's annual Open Source Rookies of the Year list. What’s special about Common Voice is in the details. Every language is spoken differently—with a wide variation of speech patterns, accents, and intonations—throughout the world. A smart speech recognition engine—that has applications over many Internet of Things (IoT) devices and digital accessibility—can recognize speech samples from a diverse group of people only when it learns from a large number of samples. A speech database of recorded speech from people across geographies helps make this ambitious machine learning possible. Read more

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